نتایج جستجو برای: linear objective function optimization

تعداد نتایج: 2310998  

Journal: :CoRR 2014
Nikolai Krivulin

We consider optimization problems that are formulated and solved in the framework of tropical mathematics. The problems consist in minimizing or maximizing functionals defined on vectors of finite-dimensional semimodules over idempotent semifields, and may involve constraints in the form of linear equations and inequalities. The objective function can be either a linear function or nonlinear fu...

Journal: :journal of optimization in industrial engineering 2011
seyed taghi akhavan niaki mahdi malaki mohammad javad ershadi

the multivariate exponentially weighted moving average (mewma) control chart is one of the best statistical control chart that are usually used to detect simultaneous small deviations on the mean of more than one cross-correlated quality characteristics. the economic design of mewma control charts involves solving a combinatorial optimization model that is composed of a nonlinear cost function ...

C. Lucas, F. Tootoonchian, Z. Nasiri-Gheidari,

In this paper a brushless permanent magnet motor is designed considering minimum thrust ripple and maximum thrust density (the ratio of the thrust to permanent magnet volumes). Particle Swarm Optimization (PSO) is used as optimization method. Finite element analysis (FEA) is carried out base on the optimized and conventional geometric dimensions of the motor. The results of the FEA deal to ...

Journal: :the modares journal of electrical engineering 2007
reza key pour mahmood reza haghifam hossin seifi

this paper presents a framework for long term transmission expansion planning in competitive, electricity markets. transmission lines and phase shifters are taken into account as expansion options. maximization of the network users' benefits, with satisfying security constraints are considered as the criterion for transmission expansion planning. the elements of the objective function are the...

Journal: :Oper. Res. Lett. 2009
Fatma Kilinç-Karzan Alejandro Toriello Shabbir Ahmed George L. Nemhauser Martin W. P. Savelsbergh

We consider optimization problems with some binary variables, where the objective function is linear in these variables. The stability region of a given solution is the polyhedral set of objective coefficients for which the solution is optimal. Knowledge of this set provides valuable information for sensitivity analysis and re-optimization. An exact description of the stability region may requi...

Journal: :international journal of advanced design and manufacturing technology 0
abbas fadaei bu-ali sina university allahyar gorbanpour amir salarpour

the metal sheets play an important role in the mechanical design, particularly in the aerospace structures. the rivet connections are frequently used to connect these sheets. the riveting quality greatly influences the rupture of the rivet and the sheet. the various parameters affect the quality of this operation. in this paper, the optimization of the parameters contributing to the riveting qu...

2001
R. H. C. Takahashi J. A. Ramírez J. A. Vasconcelos R. R. Saldanha

The problem of obtaining sensitivity analysis information from optimization stochastic methods is addressed in this work. The sensitivity analysis calculation is obtained using the evaluations of the objective function as samples of the behavior of the objective function in the vicinity of the optimum. A linear optimization problem is formulated for the approximation of a contour surface of the...

2017
George Papazafeiropoulos Vagelis Plevris Manolis Papadrakakis

A new optimization concept is introduced which involves the optimization of non-linear planar shear buildings by using gradients based on equivalent linear structures, instead of the traditional practice of calculating the gradients from the non-linear objective function. The optimization problem is formulated as an equivalent linear system of equations in which a target fundamental eigenfreque...

2005
Yaochu Jin

Multiobjective optimization using the conventional weighted aggregation of the objectives method is known to have several drawbacks. In this paper, multiobjective optimization using the weighted aggregation method is approached with the help of evolutionary algorithms. It is shown through a number of test functions that a Pareto front can be achieved from one single run of evolutionary optimiza...

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